Analysis of Texas blackout in 2021 and its enlightenment to power system planning management
DOI:DOI: 10.19783/j.cnki.pspc.210358
Key Words:Texas blackout  accident analysis  power system planning
Author NameAffiliation
YAN Daobo1 1. Hydrothermal Power Resource Optimization and Simulation Laboratory (State Grid Hubei Electrical Power Co., Ltd. Economics Research Institute), Wuhan 430077, China
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China 
WEN Jinyu2 1. Hydrothermal Power Resource Optimization and Simulation Laboratory (State Grid Hubei Electrical Power Co., Ltd. Economics Research Institute), Wuhan 430077, China
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China 
DU Zhi1 1. Hydrothermal Power Resource Optimization and Simulation Laboratory (State Grid Hubei Electrical Power Co., Ltd. Economics Research Institute), Wuhan 430077, China
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China 
YANG Dongjun1 1. Hydrothermal Power Resource Optimization and Simulation Laboratory (State Grid Hubei Electrical Power Co., Ltd. Economics Research Institute), Wuhan 430077, China
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China 
YAO Wei2 1. Hydrothermal Power Resource Optimization and Simulation Laboratory (State Grid Hubei Electrical Power Co., Ltd. Economics Research Institute), Wuhan 430077, China
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China 
ZHAO Hongsheng1 1. Hydrothermal Power Resource Optimization and Simulation Laboratory (State Grid Hubei Electrical Power Co., Ltd. Economics Research Institute), Wuhan 430077, China
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China 
LIU Ju1 1. Hydrothermal Power Resource Optimization and Simulation Laboratory (State Grid Hubei Electrical Power Co., Ltd. Economics Research Institute), Wuhan 430077, China
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China 
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Abstract:In February 2021, extreme snow and cold weather hit the State of Texas, United States, and caused the Texas power grid blackout. Nearly 5 million electricity customers were hit with power outages. Industrial production and even human life were seriously threatened. This paper describes the basics of the Texas power system and how the Texas blackout evolved. The reason for the blackout is analyzed from the aspects of technology, management and organization. Suggestions for preventing power system blackout accidents are put forward, combining the development needs of power grid planning, in terms of strengthening power grid safety management and control, emergency response, power grid differentiation planning, emergency material reserves, etc. These suggestions can provide a reference for the power grid planner, operator and manager. This work is supported by the National Natural Science Foundation of China (No. 51707070) and the Science and Technology Project of State Grid Hubei Electric Power Co., Ltd. (No. 52153818001F).
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